100+ datasets found
  1. S

    Prevention Agenda 2019-2024 Tracking Indicators: County Trend Data

    • health.data.ny.gov
    • healthdata.gov
    • +2more
    csv, xlsx, xml
    Updated Jun 8, 2022
    + more versions
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    New York State Department of Health (2022). Prevention Agenda 2019-2024 Tracking Indicators: County Trend Data [Dataset]. https://health.data.ny.gov/w/7j59-48xy/fbc6-cypp?cur=ONmK7xibDv2
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Jun 8, 2022
    Dataset authored and provided by
    New York State Department of Health
    Description

    There are two datasets related to the County Level Prevention Agenda Tracking Indicators posted on this site. Each dataset consists of county level data for 70 health tracking indicators and sub-indicators for the Prevention Agenda 2019-2024: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. The data sets also include indicators about major cross-cutting health outcomes and about health disparities. Each dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2019-2024. The most recent year dataset includes the most recent county level data for all indicators. The trend dataset includes the most recent county level data and historical data, where available. Each dataset also includes the Prevention Agenda 2024 state objectives for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups.

  2. Pinterest fashion terms search increases 2023-2024

    • statista.com
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    Statista, Pinterest fashion terms search increases 2023-2024 [Dataset]. https://www.statista.com/statistics/1496517/pinterest-fashion-search-increases/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2023 - Jun 2024
    Area covered
    Worldwide
    Description

    Between June 2023 and June 2024, searches for leopard print jeans on Pinterest increased by 2,990 percent. Additionally, searches for camouflage outfit increased by 2,295 percent.

  3. Chart Industries total assets 2020 to 2024

    • statista.com
    Updated Jul 8, 2025
    + more versions
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    Statista (2025). Chart Industries total assets 2020 to 2024 [Dataset]. https://www.statista.com/statistics/1522016/chart-industries-total-assets/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The total assets of Chart Industries with headquarters in the United States amounted to **** billion U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately **** billion U.S. dollars. The trend from 2020 to 2024 shows, furthermore, that this increase happened continuously.

  4. N

    Cincinnati, OH Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Cincinnati, OH Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Cincinnati from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/cincinnati-oh-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ohio, Cincinnati
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Cincinnati population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Cincinnati across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Cincinnati was 311,097, a 0.55% increase year-by-year from 2022. Previously, in 2022, Cincinnati population was 309,405, an increase of 0.24% compared to a population of 308,661 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Cincinnati decreased by 19,003. In this period, the peak population was 330,100 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Cincinnati is shown in this column.
    • Year on Year Change: This column displays the change in Cincinnati population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Cincinnati Population by Year. You can refer the same here

  5. M

    Singapore Net Migration | Historical Data | Chart | 1960-2024

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Singapore Net Migration | Historical Data | Chart | 1960-2024 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/sgp/singapore/net-migration
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1960 - Dec 31, 2024
    Area covered
    Singapore
    Description

    Historical dataset showing Singapore net migration by year from 1960 to 2024.

  6. T

    Euro Area Stock Market Index (EU50) Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Euro Area Stock Market Index (EU50) Data [Dataset]. https://tradingeconomics.com/euro-area/stock-market
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1986 - Dec 2, 2025
    Area covered
    Euro Area
    Description

    Euro Area's main stock market index, the EU50, rose to 5684 points on December 2, 2025, gaining 0.27% from the previous session. Over the past month, the index has climbed 0.09% and is up 16.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on December of 2025.

  7. Most searched skin care trends worldwide by social media platform 2024

    • statista.com
    Updated Jul 18, 2025
    + more versions
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    Statista (2025). Most searched skin care trends worldwide by social media platform 2024 [Dataset]. https://www.statista.com/statistics/1553327/most-searched-skin-care-trends-by-social-media-platform-2024/
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In 2024, natural skincare was the top skin care trend online, with a total of over **** million mentions across social media platforms TikTok, Pinterest and Instagram. The skin care trend, which demonstrates the huge consumer interest for natural ingredients and sustainable beauty routines, garnered the most attention on Instagram, which accounted for the majority of its mentions.

  8. US Stock Market and Commodities Data (2020-2024)

    • kaggle.com
    Updated Sep 1, 2024
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    Muhammad Ehsan (2024). US Stock Market and Commodities Data (2020-2024) [Dataset]. https://www.kaggle.com/datasets/muhammadehsan02/us-stock-market-and-commodities-data-2020-2024
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2024
    Dataset provided by
    Kaggle
    Authors
    Muhammad Ehsan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

    Key Features and Data Structure

    The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

    • Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
    • Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
    • Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
    • Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

    The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

    Applications and Usability

    This dataset is highly versatile and can be utilized for various financial research purposes:

    • Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
    • Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
    • Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

    The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

    Acknowledgements:

    This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

  9. e

    Smart Fabrics for Transportation Market Regional Analysis & Future Trends...

    • emergenresearch.com
    pdf,excel,csv,ppt
    Updated Oct 12, 2025
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    Emergen Research (2025). Smart Fabrics for Transportation Market Regional Analysis & Future Trends [2024–2034] [Dataset]. https://www.emergenresearch.com/industry-report/smart-fabrics-for-transportation-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 12, 2025
    Dataset authored and provided by
    Emergen Research
    License

    https://www.emergenresearch.com/privacy-policyhttps://www.emergenresearch.com/privacy-policy

    Area covered
    Global
    Description

    The Smart Fabrics for Transportation Market size is expected to reach USD 4.7 billion in 2023 growing at a CAGR of 10.1. Analyze Smart Fabrics for Transportation Market share, trend analysis, consumer insights, demand patterns, and growth outlook.

  10. Business trends likely to drive transformation Philippines 2024

    • statista.com
    Updated Aug 8, 2025
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    Statista (2025). Business trends likely to drive transformation Philippines 2024 [Dataset]. https://www.statista.com/statistics/1613952/trends-likely-to-drive-business-transformation-philippines/
    Explore at:
    Dataset updated
    Aug 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024 - Sep 2024
    Area covered
    Philippines
    Description

    According to a survey between May and September 2024, the majority of respondents in the Philippines identified broadening digital access as the leading trend that could drive business transformation by 2030. This was followed by increased efforts and investments to reduce carbon footprint and adapting to climate change.

  11. M

    Japan Unemployment Rate | Historical Data | Chart | 1991-2024

    • macrotrends.net
    csv
    Updated Oct 31, 2025
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    MACROTRENDS (2025). Japan Unemployment Rate | Historical Data | Chart | 1991-2024 [Dataset]. https://www.macrotrends.net/datasets/global-metrics/countries/jpn/japan/unemployment-rate
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1991 - Dec 31, 2024
    Area covered
    Japan
    Description

    Historical dataset showing Japan unemployment rate by year from 1991 to 2024.

  12. N

    Tawas City, MI Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). Tawas City, MI Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Tawas City from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/tawas-city-mi-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Tawas City, Michigan
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Tawas City population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Tawas City across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Tawas City was 1,843, a 0.32% decrease year-by-year from 2022. Previously, in 2022, Tawas City population was 1,849, an increase of 0.43% compared to a population of 1,841 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Tawas City decreased by 152. In this period, the peak population was 1,995 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Tawas City is shown in this column.
    • Year on Year Change: This column displays the change in Tawas City population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Tawas City Population by Year. You can refer the same here

  13. N

    New York Mills, NY Annual Population and Growth Analysis Dataset: A...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
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    Neilsberg Research (2024). New York Mills, NY Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in New York Mills from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/new-york-mills-ny-population-by-year/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York Mills, New York
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the New York Mills population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of New York Mills across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of New York Mills was 3,190, a 0.59% decrease year-by-year from 2022. Previously, in 2022, New York Mills population was 3,209, a decline of 0.96% compared to a population of 3,240 in 2021. Over the last 20 plus years, between 2000 and 2023, population of New York Mills decreased by 250. In this period, the peak population was 3,440 in the year 2000. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the New York Mills is shown in this column.
    • Year on Year Change: This column displays the change in New York Mills population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New York Mills Population by Year. You can refer the same here

  14. N

    Alaska Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Feb 24, 2025
    + more versions
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    Cite
    Neilsberg Research (2025). Alaska Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Alaska from 2000 to 2024 // 2025 Edition [Dataset]. https://www.neilsberg.com/insights/alaska-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Alaska
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2024, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2024. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2024. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Alaska population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Alaska across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2024, the population of Alaska was 740,133, a 0.49% increase year-by-year from 2023. Previously, in 2023, Alaska population was 736,510, an increase of 0.28% compared to a population of 734,442 in 2022. Over the last 20 plus years, between 2000 and 2024, population of Alaska increased by 112,385. In this period, the peak population was 742,575 in the year 2016. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2024

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2024)
    • Population: The population for the specific year for the Alaska is shown in this column.
    • Year on Year Change: This column displays the change in Alaska population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Alaska Population by Year. You can refer the same here

  15. N

    Indianola, IA Annual Population and Growth Analysis Dataset: A Comprehensive...

    • neilsberg.com
    csv, json
    Updated Jul 30, 2024
    + more versions
    Share
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    Cite
    Neilsberg Research (2024). Indianola, IA Annual Population and Growth Analysis Dataset: A Comprehensive Overview of Population Changes and Yearly Growth Rates in Indianola from 2000 to 2023 // 2024 Edition [Dataset]. https://www.neilsberg.com/insights/indianola-ia-population-by-year/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 30, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Indianola, Iowa
    Variables measured
    Annual Population Growth Rate, Population Between 2000 and 2023, Annual Population Growth Rate Percent
    Measurement technique
    The data presented in this dataset is derived from the 20 years data of U.S. Census Bureau Population Estimates Program (PEP) 2000 - 2023. To measure the variables, namely (a) population and (b) population change in ( absolute and as a percentage ), we initially analyzed and tabulated the data for each of the years between 2000 and 2023. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the Indianola population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Indianola across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

    Key observations

    In 2023, the population of Indianola was 16,043, a 0.02% decrease year-by-year from 2022. Previously, in 2022, Indianola population was 16,047, an increase of 0.66% compared to a population of 15,942 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Indianola increased by 2,856. In this period, the peak population was 16,047 in the year 2022. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

    Content

    When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

    Data Coverage:

    • From 2000 to 2023

    Variables / Data Columns

    • Year: This column displays the data year (Measured annually and for years 2000 to 2023)
    • Population: The population for the specific year for the Indianola is shown in this column.
    • Year on Year Change: This column displays the change in Indianola population for each year compared to the previous year.
    • Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Indianola Population by Year. You can refer the same here

  16. T

    Urals Oil - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 22, 2025
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    TRADING ECONOMICS (2025). Urals Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/urals-oil
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 22, 2012 - Dec 1, 2025
    Area covered
    World
    Description

    Urals Oil fell to 54.22 USD/Bbl on December 1, 2025, down 0.37% from the previous day. Over the past month, Urals Oil's price has fallen 7.52%, and is down 17.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Urals Crude.

  17. T

    HRC Steel - Price Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). HRC Steel - Price Data [Dataset]. https://tradingeconomics.com/commodity/hrc-steel
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 20, 2008 - Dec 2, 2025
    Area covered
    World
    Description

    HRC Steel fell to 891.06 USD/T on December 2, 2025, down 0.88% from the previous day. Over the past month, HRC Steel's price has risen 5.08%, and is up 29.14% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for HRC Steel.

  18. T

    Ivory Coast - Loan In The Past Year (% Age 15+)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 2, 2023
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    TRADING ECONOMICS (2023). Ivory Coast - Loan In The Past Year (% Age 15+) [Dataset]. https://tradingeconomics.com/ivory-coast/loan-in-the-past-year-percent-age-15-wb-data.html
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jul 2, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Côte d'Ivoire
    Description

    Loan in the past year (% age 15+) in Ivory Coast was reported at 46.17 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ivory Coast - Loan in the past year (% age 15+) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

  19. T

    United States Exports to Greenland

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 1, 2017
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    TRADING ECONOMICS (2017). United States Exports to Greenland [Dataset]. https://tradingeconomics.com/united-states/exports-to-greenland
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jun 1, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1990 - Feb 29, 2024
    Area covered
    United States
    Description

    Exports to Greenland in the United States increased to 0.32 USD Million in February from 0.21 USD Million in January of 2024. This dataset includes a chart with historical data for the United States Exports to Greenland.

  20. e

    Smartphone Market Key Insights & Future Trends [2024–2034]

    • emergenresearch.com
    pdf,excel,csv,ppt
    Updated Oct 3, 2025
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    Emergen Research (2025). Smartphone Market Key Insights & Future Trends [2024–2034] [Dataset]. https://www.emergenresearch.com/industry-report/smartphone-market
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset authored and provided by
    Emergen Research
    License

    https://www.emergenresearch.com/privacy-policyhttps://www.emergenresearch.com/privacy-policy

    Area covered
    Global
    Variables measured
    Base Year, No. of Pages, Growth Drivers, Forecast Period, Segments covered, Historical Data for, Pitfalls Challenges, 2034 Value Projection, Tables, Charts, and Figures, Forecast Period 2024 - 2034 CAGR, and 1 more
    Description

    The Smartphone Market size is expected to reach USD 792.5 billion in 2023 growing at a CAGR of 5.1. Smartphone Market report classifying segmentation, demand forecast, trend analysis, competitive landscape, and growth.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
New York State Department of Health (2022). Prevention Agenda 2019-2024 Tracking Indicators: County Trend Data [Dataset]. https://health.data.ny.gov/w/7j59-48xy/fbc6-cypp?cur=ONmK7xibDv2

Prevention Agenda 2019-2024 Tracking Indicators: County Trend Data

Explore at:
xml, csv, xlsxAvailable download formats
Dataset updated
Jun 8, 2022
Dataset authored and provided by
New York State Department of Health
Description

There are two datasets related to the County Level Prevention Agenda Tracking Indicators posted on this site. Each dataset consists of county level data for 70 health tracking indicators and sub-indicators for the Prevention Agenda 2019-2024: New York State’s Health Improvement Plan. A health tracking indicator is a metric through which progress on a certain area of health improvement can be assessed. The indicators are organized by the Priority Area of the Prevention Agenda as well as the Focus Area under each Priority Area. The data sets also include indicators about major cross-cutting health outcomes and about health disparities. Each dataset includes tracking indicators for the five Priority Areas of the Prevention Agenda 2019-2024. The most recent year dataset includes the most recent county level data for all indicators. The trend dataset includes the most recent county level data and historical data, where available. Each dataset also includes the Prevention Agenda 2024 state objectives for the indicators. Sub-indicators are included in these datasets to measure health disparities among socioeconomic groups.

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